Across industries, embracing Artificial Intelligence-led digital transformation is the order of the day. Companies worldwide are pulling out all the stops to digitize their cores with the power of automation and analytics, and capture new value. However, one factor that has been raining on their parade is the scarcity of AI skills in the market. And even if they are trying to fill this gap by locking in third-party solution providers, all they receive is a rule-based algorithm that fails in the scenarios lying outside the purview of its training.

Make no mistake: building AI algorithms is synonymous with programming a machine to do a specific task. There’s nothing innovative to it. These algorithms are suitable to address certain use cases, but if something bolts out of the blue, they will flunk the test. For an AI solution to be truly valuable to your company, it must be customized to the context.

This whitepaper provides an in-depth insight into:

• How companies can collaborate with right industry experts to customize AI solutions and what factors they must consider while doing so.
• How AI solution providers should build customized Proof of Concepts (PoCs) and determine their probability of success through a pilot study.

• How Artificial Intelligence (AI) business transformation is helping industries move forward and capture completely new opportunities.